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University collaboration gives Scotland the edge in global quantum computing race – HeraldScotland

Posted on December 24, 2020 by Ashlie Lopez

SCOTLAND has the expertise to potentially equal tech giants like IBM, Google and Intel in the race to develop next-generation computing technologies, scientists believe.

The universities of Edinburgh, Glasgow and Strathclyde have collaborated to form a new national centre that brings together internationally-recognised experts in hardware, software and application development for quantum computing a sector predicted to be worth $65 billion by 2030.

The new Scottish Centre for Innovation in Quantum Computing and Simulation has received funding from the Scottish Government to explore inward investment opportunities.

Quantum computers process information using the properties of tiny microscopic particles or nanoelectronic circuits making them exponentially more powerful than traditional computers. Tech giants including IBM, Google, Microsoft, Intel and Amazon are investing millions of dollars in developing the worlds first workable quantum computers.

Last October, Google announced that its quantum computer took three minutes and 20 seconds to solve a problem that would have taken the worlds fastest supercomputer around 10,000 years to complete.

There are problems that even the worlds biggest supercomputers are unable to solve, said Andrew Daley, a professor of quantum computing at the University of Strathclyde. For example, how to optimise traffic flow by controlling motorways in various places; how to maximise fuel efficiency when big aircraft take off or how to invest in stocks for the maximum reward and minimum risk. Because we can do computing in a very different way on a quantum computer, these are the kinds of things we believe we may be able to do that we can't do on a traditional computer.

Scottish universities are major beneficiaries of the UK governments 1 billion UK National Quantum Technologies Programme, a 10-year drive to put the UK at the forefront of quantum technology research and commercialisation.

Edinburgh University already hosts the UKs 79m national supercomputer and is one of the partners in a 10m project to develop the UKs first commercial quantum computer.

Strathclyde Universitys quantum computing research includes a 10m industry-led project addressing technology barriers to scaling quantum hardware. And Glasgow Universitys projects include being part of a 7m UK consortium aimed at commercialising quantum technologies.

Ivan McKee, Scottish trade, investment and innovation minister, said: This joint project between the universities of Edinburgh, Glasgow and Strathclyde seeks to position Scotland as the go-to location for quantum computing and has the potential to attract significant international research funding and create jobs.

It also provides a model of collaboration which could be applied in other sectors to attract inward investment and boost Scotlands economy.

The Scottish Government funding will finance a feasibility study into inward investment opportunities in quantum computing. These might include partnerships with major technology companies, institutions or countries who already have their own quantum computing programmes.

Microsoft, for example, has quantum computing partnerships with universities and other places in the world, Professor Daley said. There are large centres of quantum computing in Singapore and in the Netherlands at Delft University. The German and US governments have also created clusters in quantum computing and other quantum technologies.

Professor Elham Kashefi, who leads the quantum team at Edinburgh Universitys School of Informatics, believes the new centre could help unlock the potential of quantum tech in an unprecedented way.

She added: Perhaps such a dream could be only achieved at large corporates like IBM, Microsoft, Amazon or Google. Yet I believe the flexibility that the centre could afford as a research institute, compared to a fully business-driven programme, could be the very fundamental bridge that our field desperately needs.

Martin Weides, professor of quantum technologies at Glasgow Universitys James Watt School of Engineering, said: Theres now an international race to realise practical technologies and applications for quantum computing. I believe the Scottish Centre for Innovation in Quantum Computing and Simulation will bring together the strong academic excellence at the three founding universities to give Scotland the edge to develop a vibrant quantum ecosystem.

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University collaboration gives Scotland the edge in global quantum computing race - HeraldScotland

Construction begins for Duke University’s new quantum computing center – WRAL Tech Wire

Posted on November 20, 2020 by Ashlie Lopez

DURHAM Construction is currently underway on a 10,000-square foot expansion of Dukes existing quantum computing center in the Chesterfield Building, a former cigarette factory in downtown Durham.

The new space will house what is envisioned to be a world-beating team of quantum computing scientists. The DQC, Duke Quantum Center, is expected to be online in March 2021 and is one of five new quantum research centers to be supported by a recently announced$115 million grant from the U.S. Department of Energy.

The Error-corrected Universal Reconfigurable Ion-trap Quantum Archetype, or EURIQA, is the first generation of an evolving line of quantum computers that will be available to users in Dukes Scalable Quantum Computing Laboratory, or SQLab. The machine was built with funding from IARPA, the U.S. governments Intelligence Advanced Research Projects Activity. The SQLab intends to offer programmable, reconfigurable quantum computing capability to engineers, physicists, chemists, mathematicians or anyone who comes forward with a complex optimization problem theyd like to try on a 20-qubit system.

Unlike the quantum systems that are now accessible in the cloud, the renamed Duke Quantum Archetype, DQA, will be customized for each research problem and users will have open access to its gutsa more academic approach to solving quantum riddles.

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Construction begins for Duke University's new quantum computing center - WRAL Tech Wire

Quantum Computing Market : Analysis and In-depth Study on Size Trends, and Regional Forecast – Cheshire Media

Posted on December 3, 2020 by Ashlie Lopez

Kenneth Research has published a detailed report on Quantum Computing Market which has been categorized by market size, growth indicators and encompasses detailed market analysis on macro trends and region-wise growth in North America, Latin America, Europe, Asia-Pacific and Middle East & Africa region. The report also includes the challenges that are affecting the growth of the industry and offers strategic evaluation that is required to boost the growth of the market over the period of 2019-2026.

The report covers the forecast and analysis of the Quantum Computing Market on a global and regional level. The study provides historical data from 2015 to 2019 along with a forecast from 2019-2026 based on revenue (USD Million). In 2018, the worldwide GDP stood at USD 84,740.3 Billion as compared to the GDP of USD 80,144.5 Billion in 2017, marked a growth of 5.73% in 2018 over previous year according to the data quoted by International Monetary Fund. This is likely to impel the growth of Quantum Computing Marketover the period 2019-2026.

The Final Report will cover the impact analysis of COVID-19 on this industry.

Request To Download Sample of This Strategic Report:https://www.kennethresearch.com/sample-request-10307113The report provides a unique tool for evaluating the Market, highlighting opportunities, and supporting strategic and tactical decision-making. This report recognizes that in this rapidly-evolving and competitive environment, up-to-date marketing information is essential to monitor performance and make critical decisions for growth and profitability. It provides information on trends and developments, and focuses on markets capacities and on the changing structure of the Quantum Computing.

The quantum annealing category held the largest share under the technology segment in 2019. This is attributed to successful overcoming of physical challenges to develop this technology and further incorporated in bigger systems. The BFSI category held the largest share in the quantum computing market in 2019. This is owing to the fact that the industry is growing positively across the globe, and large banks are focusing on investing in this potential technology that can enable them to streamline their business processes, along with unbeatable levels of security

Automotive to lead quantum computing market for consulting solutions during forecast periodAmong the end-user industries considered, space and defense is the largest contributor to the overall quantum computing market, and it is expected to account for a maximum share of the market in 2019. The need for secure communications and data transfer, with the demand in faster data operations, is expected to boost the demand for quantum computing consulting solutions in this industry. The market for the automotive industry is expected to grow at the highest CAGR

Quantum computing can best be defined as the use of the attributes and principles of quantum mechanics to perform calculations and solve problems. The global market for quantum computing is being driven largely by the desire to increase the capability of modeling and simulating complex data, improve the efficiency or optimization of systems or processes, and solve problems with more precision. A quantum system can process and analyze all data simultaneously and then return the best solution, along with thousands of close alternatives all within microseconds, according to a new report from Tractica.

2018 was a growth year for the market, as businesses from the BFSI sector showed tremendous interest in quantum computing and the trend is likely to continue in 2019 and beyond. Moreover, the public sector presents significant growth opportunity for the market. In the forthcoming years, the application opportunities for quantum computing is expected to expand further, which may lead to a higher commercial interest in the technology.

Market SegmentationThe report focuses on the following end-user sectors and applications for quantum computing:By Based on offering*Consulting solutions*Systems

By End-user sectors*Government.*Academic.*Healthcare.*Military.*Geology/energy.*Information technology.*Transport/logistics.*Finance/economics.*Meteorology.*Chemicals.

By Applications*Basic research.*Quantum simulation.*Optimization problems.*Sampling.

By Regional AnanlysisNorth America*U.S.*Canada

Europe*Germany*UK*France*Italy*Spain*Belgium*Russia*Netherlands*Rest of Europe

Asia-Pacific*China*India*Japan*Korea*Singapore*Malaysia*Indonesia*Thailand*Philippines*Rest of Asia-Pacific

Latin America*Brazil*Mexico*Argentina*Rest of LATAM

Middle East & Africa*UAE*Saudi Arabia*South Africa*Rest of MEA

The quantum computing market is highly competitive with high strategic stakes and product differentiation. Some of the key market players include International Business Machines (IBM) Corporation, Telstra Corporation Limited, IonQ Inc., Silicon Quantum Computing, Huawei Investment & Holding Co. Ltd., Alphabet Inc., Rigetti & Co Inc., Microsoft Corporation, D-Wave Systems Inc., Zapata Computing Inc., and Intel Corporation.

Click Here to Download Sample Report >>https://www.kennethresearch.com/sample-request-10307113

Competitive Analysis:The Quantum Computing Market report examines competitive scenario by analyzing key players in the market. The company profiling of leading market players is included in this report with Porters five forces analysis and Value Chain analysis. Further, the strategies exercised by the companies for expansion of business through mergers, acquisitions, and other business development measures are discussed in the report. The financial parameters which are assessed include the sales, profits and the overall revenue generated by the key players of Market.

About Kenneth Research:

Kenneth Research is a reselling agency which focuses on multi-client market research database. The primary goal of the agency is to help industry professionals including various individuals and organizations gain an extra edge of competitiveness and help them identify the market trends and scope. The quality reports provided by the agency aims to make decision making easier for industry professionals and take firm decisions which helps them to form strategies after complete assessment of the market. Some of the industries under focus include healthcare & pharmaceuticals, ICT & Telecom, automotive and transportation, energy and power, chemicals, FMCG, food and beverages, aerospace and defense and others. Kenneth Research also focuses on strategic business consultancy services and offers a single platform for the best industry market research reports.

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Quantum Computing Market : Analysis and In-depth Study on Size Trends, and Regional Forecast - Cheshire Media

Quantum Inspired Algorithm Going Back To The Source – Hackaday

Posted on October 28, 2020 by Ashlie Lopez

Recently, [Jabrils] set out to accomplish a difficult task: porting a quantum-inspired algorithm to run on a (simulated) quantum computer. Algorithms are often inspired by all sorts of natural phenomena. For example, asolution to the traveling salesman problem models ants and their pheromone trails. Another famous example is neural nets, which are inspired by the neurons in your brain. However, attempting to run a machine learning algorithm on your neurons, even with the assistance of pen and paper would be a nearly impossible exercise.

The quantum-inspired algorithm in question is known as the wavefunction collapse function. In a nutshell, you have a cube of voxels, a graph of nodes, or simply a grid of tiles as well as a list of detailed rules to determine the state of a node or tile. At the start of the algorithm, each node or point is considered in a state of superposition, which means it is considered to be in every possible state. Looking at the list of rules, the algorithm then begins to collapse the states. Unlike a quantum computer, states of superposition is not an intrinsic part of a classic computer, so this solving must be done iteratively. In order to reduce possible conflicts and contradictions later down the line, the nodes with the least entropy (the smallest number of possible states) are solved first. At first, random states are assigned, with the changes propagating through the system. This process is continued until the waveform is ultimately collapsed to a stable state or a contradiction is reached.

Whats interesting is that the ruleset doesnt need to be coded, it can be inferred from an example. A classic use case of this algorithm is 2D pixel-art level design. By providing a small sample level, the algorithm churns and produces similar but wholly unique output. This makes it easy to provide thousands of unique and beautiful levels from an easy source image, however it comes at a price. Even a small level can take hours to fully collapse. In theory, a quantum computer should be able to do this much faster, since after all, it was the inspiration for this algorithm in the first place.

[Jabrils] spent weeks trying to get things running but ultimately didnt succeed. However, his efforts give us a peek into the world of quantum computing and this amazing algorithm. We look forward to hearing more about this project from [Jabrils] who is continuing to work on it in his spare time. Maybe give it a shot yourself by learning the basics of quantum computing for yourself.

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Quantum Inspired Algorithm Going Back To The Source - Hackaday

NIST Hones In On NatSec Quantum Research – Breaking Defense

Posted on October 28, 2020 by Ashlie Lopez

WASHINGTON: The NISTs Quantum Economic Development Consortium has just launched a new research committee focused on national security applications of quantum science, with an eye to identifying specific uses, standards and enabling technologies, says Celia Merzbacher, QEDCs deputy director.

Besides quantum computing, other applications that are particularly valuable for the national security side of things include: sensing, position, navigation and timing (PNT); and locating underground facilities, she told the Genius Machines summit sponsored by DefenseOne and NextGov yesterday.

The QEDC was launched under the National Institutes of Standards and Technology, which is overseen by the Commerce Department, to implement the December 2018 National Quantum Initiative Act. The law directed NIST to convene a consortium to identify the future measurement, standards, cybersecurity and other needs that will support the development of a quantum information science and technology industry, explains a NIST press release.

QEDC on Sept. 16 announced its steering committee members: Boeing, ColdQuanta, Google, IBM, QC Ware and Zapata Computing, as well as NIST and the Department of Energy. The consortium now boasts almost 200 members, from small startups to major defense contractors Lockheed Martin, Raytheon, BAE Systems, L3Harris and Honeywell. It also includes all of DoEs national laboratories and 32 universities from across the country.

Since its establishment, Merzbacher said, QEDC has been building a consortium of stakeholders from across the research and innovation system, but really focused on bringing together the various industries that are going to be really critical to achieving the economic impact that quantum sort of promises. Its in a very early stage. But nevertheless, there are all kinds of technologies that are going to have to advance and come together to make it possible to have quantum computing, and quantum communications and networks, and security and sensing.

As Breaking D readers know, quantum science is one of DoDs modernization priorities spearheaded by the Office of Research and Engineering. Over the past several years, long-simmering interest within the national security community in quantum science has been elevated due to concerns about Chinese achievements. DoD and Intelligence Community experts further worry that quantum computing could make it almost impossible to crack encrypted communications used by adversaries, terrorists and every-day criminals.

Air Force Research Laboratory (AFRL), for example, inJune held a Quantum Collider to help speed ongoing research by commercial labs on enabling technologies into the hands of operators awarding $5.25 million to 23 small businesses.

DARPA, in particular, has been working on quantum computing and quantum encryption for some two decades. In May DARPA chose seven university and industry teams for the first phase of its Optimization with Noisy Intermediate-Scale Quantum devices (ONISQ) program designed to figure out how to rapidly advance quantum computing by using hybrid machines that combine intermediate-sized quantum devices with classical systems.

Its important to bear in mind that quantum computing and current or classical computing are sort of two different animals and they have very different strengths, Merzbacher explained. For the time being, its very likely that the two will be somehow brought together in a hybrid way, so that when you have a computing problem, youll be able to run a program that sort of parses that, and runs the part that runs well on a classical computer on the classical processor, and the part that runs well on a quantum computer on the quantum processor and then kind of brings it back together to present the solution.

Thats not so different from the way high-performance computing brought together graphical processors, GPUs, and CPUs to do the same thing, she elaborated. So hybrid computing is likely to be the new high-performance computing.

That said, and despite its vast promise, quantum science remains in the very early stages of research. Indeed, Mark Lewis who now serves as DoDs acting deputy director for Research and Engineering back in May cautioned that there is a lot of hype around quantum science.

National Science Foundation image

Thus, the National Science Foundation last year created the Quantum Leap Challenge Institute program to fund the establishment of quantum research centers around the country, Thyaga Nandagopal, deputy division director of the National Science Foundations Directorate of Computer & Information Science and Engineering (CISE) Computing and Communication Foundations (CCF) Division.

NSF established three interdisciplinary centers last year:

It is now taking proposals from interested universities for three more centers, with bids due Feb. 1, 2021. Further, Nandagopal said, his group is now looking at the possibility of funding a kind of grand challenge that would showcase research that unifies sensing, communication and computation together.

We are in some sense hopeful that what QEDC and NSF and DoE are all trying to do with these massive investments that theyre making right now is to compress the timeframe to maybe 10, 15 years rather than waiting 30 years for useful applications to emerge. The hope, he said, is that by 2030 or 2035, there may be desktop quantum computers and well all be using a quantum network to do all financial transactions that we can be highly confident that cant be broken.

Theres such a broad set of possibilities. The quantum science that agencies like NSF are investing in and helping to happen are really the input and foundation; the sort of field of many flowers from which we get to harvest and create things that have practical application, Merzbacher enthused.

In the case of quantum information science that ranges from the ability to have super-sensitive sensors that could be huge improvements over our current technology for measuring brain imaging; or for finding things underground for defense and military purposes; perhaps for navigation; for making sure the energy grid is safe and secure; for driverless vehicles which dont even exist today and are going to demand all kinds of capabilities and assurance that quantum might help to provide; to computing capabilities to allow drug companies to discover drugs and, and various sort of chemical modeling to be done that would make possible all kinds of new materials and structures and devices that could be put to use in ways that we cant even really imagine.

its really a tool, in some ways, that will open sort of the imagination of innovators to create things that will have value that we cant predict, Merzbacher summed up. So thats why its really a good time, and important, for the government to step in and help prime the pump, and help support the costs of these initial research and development phases that will then make those tools available to all sorts of industries.

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NIST Hones In On NatSec Quantum Research - Breaking Defense

A Measured Approach to Regulating Fast-Changing Tech – Harvard Business Review

Posted on October 28, 2020 by Ashlie Lopez

Executive Summary

Innovations driving what many refer to as the Fourth Industrial Revolution are as varied as the enterprises affected. Industries and their supply chains are already being revolutionized by several emerging technologies, including 5G networks, artificial intelligence, and advanced robotics, all of which make possible new products and services that are both better and cheaper than current offerings. Unfortunately, not every application of transformational technology is as obviously beneficial to individuals or society as a whole. But rather than panic, regulators will need to step back, and balance costs and benefits rationally.

Amid the economic upheaval caused by Covid-19, technology-driven disruption continues to transform nearly every business at an accelerating pace, from entertainment to shopping to how we work and go to school. Though the crisis may be temporary, many changes in consumer behavior are likely permanent.

Well before the pandemic, however, industries and their supply chains were already being revolutionized by several emerging technologies, including 5G networks, artificial intelligence, and advanced robotics, all of which make possible new products and services that are both better and cheaper than current offerings. That kind of big bang disruption can quickly and repeatedly rewrite the rules of engagement for incumbents and new entrants alike. But is the world changing too fast? And, if so, are governments capable of regulating the pace and trajectory of disruption?

The answers to those questions vary by industry, of course. Thats because the innovations driving what many refer to as the Fourth Industrial Revolution are as varied as the enterprises affected. In my recent book, Pivot to the Future, my co-authors and I identified ten transformative technologies with the greatest potential to generate new value for consumers, which is the only measure of progress that really matters. They are: extended reality, cloud computing, 3D printing, advanced human-computer interactions, quantum computing, edge and fog computing, artificial intelligence, the Internet of Things, blockchain, and smart robotics.

Some of these disruptors, such as blockchain, robotics, 3D printing and the Internet of things, are already in early commercial use. For others, the potential applications may be even more compelling, though the business cases for reaching them are less obvious. Today, for example, only the least risk-adverse investors are funding development in virtual reality, edge computing, and new user interface technologies that interpret and respond to brainwaves.

Complicating both investment and adoption of transformative technologies is the fact that the applications with the biggest potential to change the world will almost certainly be built on unanticipated combinations of several novel and mature innovations. Think of the way ride-sharing services require existing GPS services, mobile networks, and devices, or how video conferencing relies on home broadband networks and high-definition displays. Looking at just a few of the most exciting examples of things to come make clear just how unusual the next generation of disruptive combinations will be, and how widespread their potential impact on business-as-usual:

Unfortunately, not every application of transformational technology is as obviously beneficial to individuals or society as a whole. Every one of the emerging technologies we identified (and plenty of those already in mainstream use) come with potential negative side effects that may, in some cases, outweigh the benefits. Often, these costs are both hard to predict and difficult to measure.

As disruption accelerates, so too does anxiety about its unintended consequences, feeding what futurist Alvin Toffler first referred to half a century ago as Future Shock. Tech boosters and critics alike are increasingly appealing to governments to intervene, both to promote the most promising innovations and, at the same time, to solve messy social and political conflicts aggravated by the technology revolution.

On the plus side, governments continue to support research and development of emerging technologies, serving as trial users of the most novel applications. The White House, for example, recently committed over $1 billion for continued exploration of leading-edge innovation in artificial intelligence and quantum computing. The Federal Communications Commission has just concluded one its most successful auctions yet for mobile radio frequencies, clearing bandwidth once considered useless for commercial use but now seen as central to nationwide 5G deployments. Palantir, a data analytics company that works closely with governments to assess terrorism and other complex risks, has just filed for a public offering that values the start-up at over $40 billion.

At the same time, a regulatory backlash against technology continues to gain momentum, with concerns about surveillance, the digital divide, privacy, and disinformation leading lawmakers to consider restricting or even banning some of the most popular applications. And the increasingly strategic importance of continued innovation to global competitiveness and national security has fueled increasingly nasty trade disputes, including some between the U.S., China, and the European Union.

Together with on-going antitrust inquiries into the competitive behavior of leading technology providers, these negative reactions underscore what author Adam Thierer sees as the growing prevalence of techno-panics generalized fears about personal autonomy, the fate of democratic government, and perhaps even apocalyptic outcomes from letting some emerging technologies run free.

Disruptive innovation is not a panacea, but nor is it a poison. As technology transforms more industries and becomes the dominant driver of the global economy, it is inevitable both that users will grow more ambivalent, and, as a result, that regulators will become more involved. If, as a popular metaphor of the 1990s had it, the digital economy began as a lawless frontier akin to the American West, its no surprise that as settlements grow socially complex and economically powerful, the law will continue to play catch up, likely for better and for worse.

But rather than panic, regulators need to step back, and balance costs and benefits rationally. Thats the only way well achieve the exciting promise of todays transformational technologies, but still avoid the dystopias.

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A Measured Approach to Regulating Fast-Changing Tech - Harvard Business Review

Global Quantum Computing Market 2020 COVID-19 Updated Analysis By Product (Simulation, Optimization, Sampling); By Application (Defense, Banking &…

Posted on October 28, 2020 by Ashlie Lopez

Global Quantum Computing Market Report Covers Market Dynamics, Market Size, And Latest Trends Amid The COVID-19 Pandemic

For obtaining an entire summary of theQuantum Computing market, all one has to do is to read every detail mentioned in the report so as to grasp some of the vital futuristic and present innovative trends mentioned in the record. The Quantum Computing market has all the factors including growth benefits, product sales, customer demands, economic flexibilities, various applications, and entire market segmentation detailed out in a well-patterned format.

Click here for the free sample copy of the Quantum Computing Market report

On a global scale, the Quantum Computing market is shown to have crossed the profit bar due to the inclusion of endless strategies like government regulations, specific industrial policies, product expenditure analysis, and future events. The focus on the dominating players Magiq Technologies Inc., 1QB Information Technologies Inc., D-Wave Systems Inc., Intel Corporation, Nippon Telegraph And Telephone Corporation (NTT), Cambridge Quantum Computing Ltd, Fujitsu, International Business Machines Corporation (IBM), Evolutionq Inc, Hewlett Packard Enterprise (HP), QxBranch, LLC, Google Inc., Toshiba Corporation, Station Q Microsoft Corporation, University Landscape, Northrop Grumman Corporation, Accenture, Quantum Circuits, Inc, Rigetti Computing, Hitachi Ltd, QC Ware Corp. of the Quantum Computing market gives an idea about the growth enhancement being experienced on the global platform.

Key Insights encompassed in the Quantum Computing market report

Latest technological advancement in the Quantum Computing market Studying pricing analysis and market strategies trailed by the market players to enhance global Quantum Computing market growth Regional development status off the Quantum Computing market and the impact of COVID-19 in different regions Detailing of the supply-demand chain, market valuation, drivers, and more

The Quantum Computing market report provides not only the clients but also all the other entrepreneurs with the market statistics, applications, product type, end-users, topological growth, market funds, and others in a diamond-like transparent format. The topological bifurcation North America (United States, Canada and Mexico), Europe (Germany, UK, France, Italy, Russia and Turkey etc.), Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia and Vietnam), South America (Brazil, Argentina, Columbia etc.), Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) is important in order to study the overall market growth and development. The current report beams some light on the futuristic scopes and the alterations needed in the industrial and government strategy for the benefit of the global market.

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An Overview About the Table of Contents:

Global Quantum Computing Market Overview Target Audience for the Quantum Computing Market Economic Impact on the Quantum Computing Market Global Quantum Computing Market Forecast Business Competition by Manufacturers Production, Revenue (Value) by Region Production, Revenue (Value), Price Trend by Type Market Analysis by Application Cost Analysis Industrial Chain, Sourcing Strategy, and Downstream Buyers Marketing Strategy Analysis, Distributors/Traders Market Effect Factors Analysis

This informative report provides some of the vital details about the Quantum Computing market regarding segmentation {Simulation, Optimization, Sampling}; {Defense, Banking & Finance, Energy & Power, Chemicals, Healthcare & Pharmaceuticals, Others} such as application in various sectors, product type bifurcations, supply and demand statistics, and growth factors, which are commonly required for the potential positive growth and development.

Key questions answered by the report:

What are the major trends that are constantly influencing the growth of the Quantum Computing market? Which are the prominent regions that offer immense prospects for players in the Quantum Computing market? What are the business strategies adopted by key players to sustain in the global Quantum Computing market? What is the expected size and growth rate of the global Quantum Computing market during the forecast period? What are the factors impacting the growth of the global Quantum Computing market? What are the challenges and threats faced by key players in the Quantum Computing market?

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Along with the market bifurcations, there is detailing about strategic means inculcated by the dominant players so as to carve out a name for themselves in the market. With a solitary click, the entire interface is displayed with the Quantum Computing market details mentioned in a brief and smooth-tongued format for all the laymen and business entrepreneurs present across the world.

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Global Quantum Computing Market 2020 COVID-19 Updated Analysis By Product (Simulation, Optimization, Sampling); By Application (Defense, Banking &...

Inside Quantum Technology Europe Virtual Conference Looks to the Future of Quantum Computing, Networking, Sensors and Cryptography, October 26-30,…

Posted on October 16, 2020 by Ashlie Lopez

NEW YORK, Oct. 14, 2020 /PRNewswire/ --3DR Holdings today announced details regarding the second annual edition of Inside Quantum Technology Europe, the premier conference dedicated to the business of quantum computing, quantum networking, quantum sensors, and quantum technology.

Following its 2019 European debut in The Hague, this year's Inside Quantum Technologyevent will be Europe's largest online quantum technology event, featuring five days of presentations that will run for 4 hours daily, with archived sessions available to all registrants through the end of November.

Launching on October 26 with exhibitor presentations and virtual networking, each day is vertically focused on Quantum Computing (10/27), Quantum Computing Software and Applications (10/28), Quantum Communications (10/29), and Quantum Sensors, Quantum Policy and Quantum Investments (10/30).

In addition to sessions led by leaders from the worlds of research, academia, finance, pharma and technology, Inside Quantum Technology Europe features presentations from top executives and technologists at the industry's pioneering companies, including QuTech, D-Wave, QC Ware, Cambridge Quantum Computing and Riverlane.

Further, attendees will have the opportunity to learn about quantum initiatives from innovators at the world's leading corporations, including:

"We've come a long way since we held the first ever quantum technology conference in Boston two years ago, and as quantum development continues at a rapid pace our event will focus on insight from end-users, technology firms and policy makers that are making quantum technology a reality," said Lawrence Gasman, President of Inside Quantum Technology. "And as the conference features speakers from European multinationals and European-based quantum startups, attendees will have the opportunity to learn about quantum development on a global scale."

Inside Quantum Technology Europe conference session topics include:

For additional details about Inside Quantum Technology Europe, including the complete agenda, registration information, sponsorship and exhibition options, please visit https://europe.iqtevent.com.

About 3DR Holdings3DR Holdings is a technology media organization with website, research and international trade show interests in the fields of 3D Printing and Quantum Technology. For more information, please visit https://3drholdings.com.

About Inside Quantum TechnologyFounded by Lawrence Gasman and Alan Meckler, Inside Quantum Technologyis the first company entirely dedicated to meeting the strategic information and analysis needs of the emerging quantum technology sector.In addition to arranging conferences and publishing articles of critical importance to the quantum technology sector, the company's consulting group, provides published reports on important revenue opportunities in quantum technology including quantum computer markets and software, quantum key distribution,post-quantum cryptography,quantum sensors, and on important verticals such as the military, the financial sector, big pharma, and more. For additional information, please visit https://www.insidequantumtechnology.com.

Media Contact: Barry Schwartz, Schwartz Public Relations[emailprotected], 212-677-8700 ext. 118

SOURCE 3DR Holdings

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Inside Quantum Technology Europe Virtual Conference Looks to the Future of Quantum Computing, Networking, Sensors and Cryptography, October 26-30,...

Quantum Computing Market 2020 | Outlook, Growth By Top Companies, Regions, Types, Applications, Drivers, Trends & Forecasts by 2025 – PRnews…

Posted on October 17, 2020 by Ashlie Lopez

Market Study Report, LLC, has added a research study on Quantum Computing market which delivers a concise outline of the market share, market size, revenue estimation, geographical outlook and SWOT analysis of the business. The report further offers key insights based on growth opportunities and challenges as experienced by leaders of this industry, while evaluating their present standing in the market and growth strategies.

The new Quantum Computing market research report presents a granular analysis of the business outlook and also covers the world market overview. It throws lights on various market segmentations based on product type, application spectrum, well-established companies, and regions.

Request a sample Report of Quantum Computing Market at:https://www.marketstudyreport.com/request-a-sample/2855012?utm_source=prnewsleader.com&utm_medium=SK

Additionally, the document analyses the impact of COVID-19 on the market growth.

Key features of Quantum Computing market report:

Regional Analysis of Quantum Computing market:

Quantum Computing Market Segmentation: Americas, APAC, Europe, Middle East & Africa

Overview of the regional terrain of Quantum Computing market:

Product types and application scope of Quantum Computing market:

Product landscape:

Product types: Hardware, Software and Cloud Service

Key factors enclosed in the report:

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Application Landscape:

Application segmentation: Medical, Chemistry, Transportation, Manufacturing and Others

Details stated in the report:

Other details specified in the report:

Competitive spectrum of the Quantum Computing market:

Competitive landscape of Quantum Computing market: D-Wave Solutions, IBM, Microsoft, Rigetti Computing, Google, Anyon Systems Inc., Intel, Cambridge Quantum Computing Limited and Origin Quantum Computing Technology

Major features as per the report:

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IBM, Alphabet and well-funded startups in the race for quantum supremacy – IT Brief Australia

Posted on September 26, 2020 by Ashlie Lopez

GlobalData, the worldwide data analysts, have offered new research that suggests that many companies are joining the race for quantum supremacy, that is, to be the first to make significant headway with quantum computing.

Quantum computers are a step closer to reality to solve certain real life problems that are beyond the capability of conventional computers, the analysts state.

However, the biggest challenge is that these machines should be able to manipulate several dozens of quantum bits or qubits to achieve impressive computational performance.

As a result, a handful of companies have joined the race to increase the power of qubits and claim quantum supremacy, says GlobalData.

An analysis of GlobalDatas Disruptor Intelligence Center reveals various companies in the race to monetisequantum computing as an everyday tool for business.

IBM's latest quantum computer, accessible via cloud, boasts a 65-qubit Hummingbird chip. It is an advanced version of System Q, its first commercial quantum computer launched in 2019 that has 20 qubits. IBM plans to launch a 1,000-qubit system by the end of 2023.

Alphabet has built a 54-qubit processor Sycamore and demonstrated its quantum supremacy by performing a task of generating a random number in 200 seconds, which it claims would take the most advanced supercomputer 10,000 years to finish the task.

The company also unveiled its newest 72-qubit quantum computer Bristlecone.

Alibabas cloud service subsidiary Aliyun and the Chinese Academy of Sciences jointly launched an 11-qubit quantum computing service, which is available to the public on its quantum computing cloud platform.

Alibaba is the second enterprise to offer the service to public after IBM.

However, its not only the tech giants that are noteworthy. GlobalData finds that well-funded startups have also targeted the quantum computing space to develop hardware, algorithms and security applications.

Some of them are Rigetti, Xanadu, 1Qbit, IonQ, ISARA, Q-CTRL and QxBranch.

Amazon, unlike the tech companies competing to launch quantum computers, is making quantum products of other companies available to users via Braket.

It currently supports quantum computing services from D-Wave, IonQ and Rigetti.

GlobalData principal disruptive tech analyst Kiran Raj says, Qubits can allow to create algorithms for the completion of a task with reduced computational complexity that cannot be achieved with traditional bits.

"Given such advantages, quantum computers can solve some of the intractable problems in cybersecurity, drug research, financial modelling, traffic optimisation and batteries to name a few.

Raj says, Albeit a far cry from the large-scale mainstream use, quantum computers are gearing up to be a transformative reality. They are highly expensive to build and it is hard to maintain the delicate state of superposition and entanglement of qubits.

"Despite such challenges, quantum computers will continue to progress into the future where companies may rent them to solve everyday problems the way they currently rent cloud services.

"It may not come as a surprise that quantum computing one day replaces artificial intelligence as the mainstream technology to help industries tackle problems they never would have attempted to solve before.

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IBM, Alphabet and well-funded startups in the race for quantum supremacy - IT Brief Australia

This Week in Washington IP: Antitrust in the Ninth Circuit, Shaping Artificial Intelligence and Promoting Security in 5G Networks – IPWatchdog.com

Posted on October 13, 2020 by Ashlie Lopez

This week in Washington IP events, the House of Representatives remains quiet during district work periods, while the Senate focuses this week on the nomination of Amy Coney Barrett to serve on the U.S. Supreme Court. Various tech related events will take place at policy institutes this week, including several at the Center for Strategic & International Studies exploring efforts to maintain American leadership in semiconductor manufacturing and innovation in the intelligence community. The Hudson Institute is hosting a virtual event this week to discuss the impacts of the Ninth Circuits recent decision to overturn Judge Lucy Kohs injunction against Qualcomms patent licensing practices.

The Hudson Institute

Antitrust in the 21st Century: The Ninth Circuits Decision in FTC v. Qualcomm

At 12:00 PM on Monday, online video webinar.

In early August, a panel of circuit judges in the U.S. Court of Appeals for the Ninth Circuit issued a unanimous 3-0 decision in favor of Qualcomm in its appeal against Judge Lucy Kohs ruling in favor of the Federal Trade Commission (FTC), which featured an injunction against Qualcomm for its patent licensing practices in the semiconductor industry. While the FTC pursues en banc review of the Ninth Circuits decision, this event will explore the FTCs chances for success on that petition as well as current guiding principles for those operating at the intersection of intellectual property rights and antitrust law. Speakers at this event will include Judge Paul R. Michel (Ret.), Former Chief Judge, U.S. Court of Appeals for the Federal Circuit; Richard A. Epstein, Professor of Law, New York University, Senior Fellow, Hoover Institution, and Professor Emeritus and Senior Lecturer, University of Chicago; Dina Kallay, Head of Competition (IPR, Americas, and Asia-Pacific), Ericsson; and Urka Petrov?i?, Senior Fellow, Hudson Institute.

Center for Strategic & International Studies

American Leadership in Semiconductor Manufacturing

At 2:00 PM on Tuesday, online video webinar.

This June, Representatives Michael McCaul (R-TX) and Doris Matsui (D-CA) introduced H.R. 7178, the Creating Helpful Incentives to Produce Semiconductors (CHIPS) for America Act. If enacted, the bill would create a tax credit for entities investing in semiconductor manufacturing facilities, among other incentives meant to support domestic chipmakers. This event, which will focus on the importance of maintaining dominance in the semiconductor sector in the face of growing challenges from China, will feature a discussion between Rep. McCaul, who is also Co-Chair, House Semiconductor Caucus & Lead Republican, House Foreign Affairs Committee; and James Andrew Lewis, Senior Vice President and Director, Technology Policy Program.

Information Technology & Innovation Foundation

How Will Quantum Computing Shape the Future of AI?

At 9:00 AM on Wednesday, online video webinar.

The power of quantum computing to compute algorithms more quickly than classical computing relies in large part upon the nascent technologys ability to model extremely complex problems, giving quantum computers the ability to create stronger forecasts in sectors where many variables come into play, such as weather predictions. In artificial intelligence (AI), quantum algorithms could be a great boon in solving complex problems like climate forecasts and discovering novel drug compounds, so those nations which can take the lead in quantum computing will also likely have an edge in AI development. This event will feature a discussion with a panel including Hodan Omaar, Policy Analyst, Center for Data Innovation, ITIF; Freeke Heijman, Director, Strategic Development, QuTech Delft; Joseph D. Lykken, Deputy Director of Research, Fermi National Accelerator Laboratory; Markus Pflitsch, Chairman and Founder, Terra Quantum AG; and moderated by Eline Chivot, Senior Policy Analyst, Center for Data Innovation, ITIF.

The Hudson Institute

The Future of American Spectrum Policy: Is DoDs Request for Information the Best Direction?

At 3:00 PM on Wednesday, online video webinar.

In early August, the White House and the U.S. Department of Defense (DoD) announced a plan to devise a spectrum sharing framework that frees up 100 megahertz (MHz) of continuous mid-band spectrum currently held by the DoD to be auctioned by the Federal Communications Commission (FCC) for supporting the growth of 5G networks across the U.S. A request for information (RFI) issued by the DoD on September 18 to identify innovative solutions for dynamic spectrum sharing which effectively supports national security while freeing up additional spectrum to be used by the 5G industry. Speakers at this event will include Harold Furchtgott-Roth, Director, Center for the Economics of the Internet; Michael ORielly, Commissioner, FCC; Robert McDowell, Former Commissioner, FCC; and Grace Koh, Ambassador and Special Advisor, Bureau of Economic and Business Affairs.

U.S. Patent and Trademark Office

Hear From USPTO Experts at the State Bar of Texas Advanced Intellectual Property Litigation Course

At 9:00 AM on Thursday, online video webinar.

On Thursday morning, the USPTO kicks off a two-day series of intellectual property litigation workshops being offered in partnership with the Intellectual Property Law Section of the State Bar of Texas. USPTO experts speaking at this event will include Molly Kocialski, Director, Rocky Mountain Regional Office; Miriam L. Quinn, Administrative Patent Judge, Patent Trial and Appeal Board; Todd J. Reves, Office of Policy and International Affairs; and Megan Hoyt, Dallas Regional Outreach Officer.

Center for Strategic & International Studies

Innovation in the Intelligence Community

At 3:00 PM on Thursday, online video webinar.

The U.S. intelligence community is careful to maintain secrecy in its operations but this can come at a cost to that sectors ability to support the development of innovative technologies like quantum computing and artificial intelligence. However, a recent report on the innovation race in the intelligence community issued by House Permanent Select Committee on Intelligences Subcommittee on Strategic Technologies and Advanced Research provides several recommendations for the intelligence community to support tech development in areas crucial for national security. This event will feature a discussion on the report between Representative Jim Hines (D-CT), Chairman, House Permanent Select Committee on Intelligences Subcommittee on Strategic Technologies and Advanced Research; and James Andrew Lewis, Senior Vice President and Director, Technology Policy Program.

Center for Strategic & International Studies

Sharpening Americas Innovative Edge

At 11:00 AM on Friday, online video webinar.

Although the United States lept to the forefront of global tech dominance thanks in large part to federal investment in R&D programs, the nations research funding continues to follow an outdated Cold War-era funding model for research. This event coincides with a report released by CSISs Trade Commission on Affirming American Leadership which outlines a national strategy for developing important technology sectors so that the U.S. can remain ahead of its global counterparts in those fields. This event will feature a discussion with a panel including Ajay Banga, CEO, Mastercard; Richard Levin, Former President, Yale University; Kavita Shukla, Founder and CEO, The FRESHGLOW Co.; and moderated by Matthew P. Goodman, Senior Vice President for Economics and Simon Chair in Political Economy, CSIS.

The Heritage Foundation

5G: The Emerging Markets Trojan Horse

At 1:00 PM on Friday, online video webinar.

The United States and several governments across Europe have sounded the alarm in recent years over the risks of foreign surveillance of domestic networks enabled by the use of network infrastructure hardware developed by growing Chinese telecom firms like Huawei and ZTE which have close ties with the Chinese communist government. While these developed nations have taken steps to prevent such issues in the 5G supply chain, governments in Africa and other developing areas of the world are forced to choose between protecting national security and building these crucial networks. Speakers at this event will include Bonnie Glick, Deputy Administrator, United States Agency for International Development; Joshua Meservy, Senior Policy Analyst, Africa and the Middle East; and hosted by Klon Kitchen, Director, Center for Technology Policy.

U.S. Patent and Trademark Office

2020 Patent Public Advisory Committee Annual Report Discussion

At 1:00 PM on Friday, online video webinar.

On Friday afternoon, the USPTOs Patent Public Advisory Committee (PPAC) will convene a meeting to discuss the annual report that the committee will prepare on the agencys policies, performance and user fees which will be delivered to the White House and Congress by the end of the fiscal year.

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This Week in Washington IP: Antitrust in the Ninth Circuit, Shaping Artificial Intelligence and Promoting Security in 5G Networks - IPWatchdog.com

Trump administration signs AI research and development agreement with the UK | TheHill – The Hill

Posted on September 26, 2020 by Ashlie Lopez

The Trump administration on Friday announced that it had signed an artificial intelligence (AI) research and development agreement with the United Kingdom.

The U.S. and the U.K. formally committed to the Declaration on Cooperation in Artificial Intelligence Research and Development, which is meant to promote cooperation between the two nations on AI development along with recommending priorities for AI planning and programming, including student and researcher collaboration.

According to the White Houses Office of Science and Technology Policy (OSTP), the agreement is the result of a meeting between President TrumpDonald John TrumpSteele Dossier sub-source was subject of FBI counterintelligence probe Pelosi slams Trump executive order on pre-existing conditions: It 'isn't worth the paper it's signed on' Trump 'no longer angry' at Romney because of Supreme Court stance MORE and British Prime Minister Boris Johnson last year, during which a U.S.-U.K. Special Relationship Economic Working Group was established to promote collaboration on economic growth.

America and our allies must lead the world in shaping the development of cutting edge AI technologies and protecting against authoritarianism and repression, U.S. Chief Technology Officer Michael Kratsios said in a statement Friday. We are proud to join our special partner and ally, the United Kingdom, to advance AI innovation for the well-being of our citizens, in line with shared democratic values.

Alok Sharma, a member of Parliament and the U.K.s secretary of State for Business, Energy, and Industrial Strategy, tweeted his support on Friday after signing the AI declaration on behalf of the U.K.

I look forward to collaborating with our US partners on #AI and advancing our shared vision to harness the benefits of this technology for all, Sharma tweeted.

The move follows increasing efforts by the Trump administration to ramp up investment in AI and quantum computing.

The administration announced in August that it would funnel more than $1 billion over the next five years into funding new research institutes focused on AI and quantum computing development.

These funds were in addition to a $75 million investment into establishing three quantum computing centers at major U.S. universities, which OSTP and the National Science Foundation (NSF) announced in July.

Capitol Hill has also zeroed in on AI and quantum computing.

A bipartisan group of lawmakers led by Senate Minority Leader Charles SchumerChuck SchumerPelosi slams Trump executive order on pre-existing conditions: It 'isn't worth the paper it's signed on' 3 reasons why Biden is misreading the politics of court packing Cruz blocks amended resolution honoring Ginsburg over language about her dying wish MORE (D-N.Y.) introduced legislation earlier this year that would appropriate $100 million to a new NSF Directorate of Technology in order to fund investment into AI, quantum, robotics, cybersecurity and other technological issues. Bipartisan members of the Senate Commerce, Science and Transportation Committee also introduced legislation this year to enhance investment in technology research and development.

On Friday, House Science, Space and Technology Committee ranking member Frank LucasFrank Dean LucasOVERNIGHT ENERGY: House passes sweeping clean energy bill | Pebble Mine CEO resigns over secretly recorded comments about government officials | Corporations roll out climate goals amid growing pressure to deliver House passes sweeping clean energy bill OVERNIGHT ENERGY: California seeks to sell only electric cars by 2035 | EPA threatens to close New York City office after Trump threats to 'anarchist' cities | House energy package sparks criticism from left and right MORE (R-Okla.) and Rep. Jerry McNerneyGerlad (Jerry) Mark McNerneyHillicon Valley: FBI chief says Russia is trying to interfere in election to undermine Biden | Treasury Dept. sanctions Iranian government-backed hackers Lawmakers call for expanded AI role in education, business to remain competitive The Hill's Morning Report - Sponsored by The Air Line Pilots Association - Pence lauds Harris as 'experienced debater'; Trump, Biden diverge over debate prep MORE (D-Calif.) introduced a bill to enhance the work of the Department of Energy on quantum research and development.

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Trump administration signs AI research and development agreement with the UK | TheHill - The Hill

NU receives $115 million federal grant to research and develop beyond state-of-the-art quantum computer – Daily Northwestern

Posted on September 26, 2020 by Ashlie Lopez

Courtesy of James Sauls

SQMS director Anna Grassellino and deputy director James Sauls hold a superconducting radio-frequency cavity at Fermilab. These cavities play a pivotal role in developing quantum technologies.

Grace Wu, Assistant Video EditorSeptember 23, 2020

The U.S. Department of Energy recently announced that the Superconducting Quantum Materials and Systems Center, a partnership between NU and Fermi National Accelerator Laboratory, was selected as one of five national quantum information science centers.

The grant, as part of the National Quantum Initiative, consists of $115 million to be used over five years. Quantum information science has huge implications for multiple fields, ranging from traditional sciences such as physics and chemistry to industries like finance to national security, due to quantum computers ability to process computations at never-before seen speeds.

Quantum computers are able to perform computations at such high speeds due to the nature of quantum bits, or qubits. Classical, or traditional, computers data is encoded in binary bits, a one or a zero, and the data can only exist in one of these states at a time. Qubits are unique because they have an atomic system that allows them to exist in both states simultaneously, thus creating exponential computing potential.

Google and IBM have already each built their own quantum computer. At its unveiling in Oct. 2019, Googles Sycamore quantum computer could process 53 qubits, meaning it could process two to the 53rd power quantum bits, or pieces of information. For context, the Sycamore processor performed a computation in 200 seconds that would take the fastest classical computers about 10,000 years.

Out of the five NQI centers, SQMS is the only center who has proposed to build a next-generation, state-of-the-art quantum computer, according to SQMS deputy director and McCormick Prof. James Sauls. This computer is aimed to process over 100 qubits, and NU has the technology to engineer it, Sauls added.

There will be some synergy between these five different centers as we grow, and we figure out what each other are doing, Sauls said. Another mission that the Department of Energy has is to make the five national centers something bigger than just the sum of each part.

As for NUs partnership with Fermilab in SQMS, research in quantum information science has already been underway before submitting the proposal for the DOE grant, according to McCormick Prof. Peter Voorhees, one of the six materials science and engineering faculty working in the center. Fermilab has some of the worlds best superconducting electromagnetic cavities, and Northwestern has already established strength and knowledge in the field of superconductivity and materials science, Voorhees said.

Weve been working on it before, and we were waiting for people to agree with us that its an important thing to do, Voorhees said. Between (Fermilab) and Northwestern, this is the place where you want to put your investment.

SQMS has four components dedicated to developing the technology, building the devices, elaborating on the physics of the sensing and recruiting young scientists and providing them with research experience and learning in quantum information science, Sauls said.

There are currently 35 people on staff from NU, a number that will easily grow to 50, Sauls said. Faculty from the physics and astronomy, materials science and engineering, and electrical engineering departments will lead research and engineering initiatives. SQMS will also be working in conjunction with Rigetti Computing, National Institute of Standards and Technology and other universities.

In addition to engineering a powerful computer, SQMS will also be engaging in fundamental science research, as the same devices that are used for computing can also be used in detecting particles such as dark matter, Sauls said.

Research funded by the DOE has not yet commenced because the grant hasnt arrived yet at NU, Voorhees said. However, he said he thinks its going to happen in record time due to the technologys important implications.

I think its really fun and exciting to be part of an effort thats truly interdisciplinary, Voorhees said. (It) involves a national lab (and) people from other disciplines that is in an area thats so exciting and promising for the future.

Email: [emailprotected]Twitter: @gracewu_10

Related Stories: Northwesterns Center for Molecular Quantum Transduction receives $12.4 million in research funding

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NU receives $115 million federal grant to research and develop beyond state-of-the-art quantum computer - Daily Northwestern

Assistant director of NSFs Computer and Information Science and Engineering to give virtual talk Sept. 11 – Vanderbilt University News

Posted on September 5, 2020 by Ashlie Lopez

By Jenna Somers and Jane Hirtle

Margaret Martonosi, assistant director of Computer and Information Science and Engineering at the National Science Foundation, will speak at a virtual campus visit on Friday, Sept. 11, from 2 to 4 p.m. CT hosted by Vice Provost for Research Padma Raghavan. Faculty, students and staff are invited to register to attend the presentation and take part in an open discussion and Q&A session about CISE and its key focus areas, including cyberinfrastructure, computing and communication, computer and network systems and information and intelligent systems, as well as funding opportunities and NSF future directions in these areas.

I am pleased to welcome my close colleague Dr. Margaret Martonosi to Vanderbilt, said Raghavan, who serves as a member of the advisory boards for the CISE Directorate and the Office of Advanced Cyberinfrastructure. Margaret is a preeminent computer scientist who has made foundational contributions to computer architecture and hardware-software interfaces in both classical and quantum computing systems. Now as the assistant director of CISE, she stewards the development of strategy and programs to strengthen fundamental research and education in order to advance U.S. leadership in computing, communications and information science and engineering. I am delighted to welcome her to share her insights with the Vanderbilt community and join us in a roundtable discussion.

Under Martonosis guidance, CISE also strengthens innovation in research cyberinfrastructure and promotes inclusive, transparent participation in an information-based society to ensure the success of the computer and information technology workforce in the global market.

Along with the Office of the Assistant Director, CISE includes the Office of Advanced Cyberinfrastructure, Division of Computing and Communication Foundations, Division of Computer and Network Systems, and the Division of Information and Intelligent Systems. Each of these units manages a portfolio of proposal competitions and grants while collaborating across units and directorates to achieve the mission of CISE.

Noteworthy examples of CISE-funded programs include Broadening Participation in Computing Alliances, which aims to increase the diversity and amount of college graduates in computing and computationally-intensive disciplines; the Foundations of Emerging Technologies, which supports fundamental research in disruptive technologies and models in computing and communication; and the Big Data Regional Innovation Hubs, which engage state and local government officials, local industry and nonprofits and regional academic institutions to use big data research to address regional concerns.

Most recently, NSF partnered with the Department of Agriculture, the Department of Homeland Security and the Department of Transportation to launch the National Artificial Intelligence (AI) Research Institutes. As the name suggests, these institutes will serve to accelerate AI research nationwide, developing the U.S. workforce and protecting and advancing society across many aspects of daily life from education to natural disaster preparedness.

While serving as the assistant director of CISE, Martonosi is on leave from Princeton University, where she is the Hugh Trumbull Adams 35 Professor of Computer Science. Her research focuses on computer architecture and mobile computing. Martonosi has received numerous awards, including the 2019 SIGARCH Alan D. Berenbaum Distinguished Service Award, the 2018 IEEE Computer Society Technical Achievement Award, and the 2010 Princeton University Graduate Mentoring Award, among many others. Additionally, she is an elected member of the American Academy of Arts and Sciences and a fellow of the Association for Computing Machinery and the Institute of Electrical and Electronics Engineers.

Please visit CISE to learn more about its programs, funding opportunities and awards.

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Assistant director of NSFs Computer and Information Science and Engineering to give virtual talk Sept. 11 - Vanderbilt University News

Trending News: Quantum Computing Market Overview and Forecast Report 2020-2026 – Top players: D-Wave Systems, 1QB Information Technologies, QxBranch…

Posted on September 16, 2020 by Ashlie Lopez

The latest Quantum Computingmarket report estimates the opportunities and current market scenario, providing insights and updates about the corresponding segments involved in the global Quantum Computingmarket for the forecast period of 2020-2026. The report provides detailed assessment of key market dynamics and comprehensive information about the structure of the Quantum Computingindustry. This market study contains exclusive insights into how the global Quantum Computingmarket is predicted to grow during the forecast period.

The primary objective of the Quantum Computing market report is to provide insights regarding opportunities in the market that are supporting the transformation of global businesses associated with Quantum Computing. This report also provides an estimation of the Quantum Computingmarket size and corresponding revenue forecasts carried out in terms of US$. It also offers actionable insights based on the future trends in the Quantum Computingmarket. Furthermore, new and emerging players in the global Quantum Computingmarket can make use of the information presented in the study for effective business decisions, which will provide momentum to their businesses as well as the global Quantum Computingmarket.

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The study is relevant for manufacturers, suppliers, distributors, and investors in the Quantum Computingmarket. All stakeholders in the Quantum Computingmarket, as well as industry experts, researchers, journalists, and business researchers can influence the information and data represented in the report.

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The outbreak of COVID-19 has brought effects on many aspects, like flight cancellations; travel bans and quarantines; restaurants closed; all indoor events restricted; emergency declared in many countries; massive slowing of the supply chain; stock market unpredictability; falling business assurance, growing panic among the population, and uncertainty about future.

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What is the market size of the Quantum Computing industry?This report covers the historical market size of the industry (2013-2019), and forecasts for 2020 and the next 5 years. Market size includes the total revenues of companies.

What is the outlook for the Quantum Computing industry?This report has over a dozen market forecasts (2020 and the next 5 years) on the industry, including total sales, a number of companies, attractive investment opportunities, operating expenses, and others.

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How many companies are in the Quantum Computing industry?This report analyzes the historical and forecasted number of companies, locations in the industry, and breaks them down by company size over time. The report also provides company rank against its competitors with respect to revenue, profit comparison, operational efficiency, cost competitiveness, and market capitalization.

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Imperfections Lower the Simulation Cost of Quantum Computers – Physics

Posted on November 27, 2020 by Ashlie Lopez

November 23, 2020• Physics 13, 183

Classical computers can efficiently simulate the behavior of quantum computers if the quantum computer is imperfect enough.

With a few quantum bits, an ideal quantum computer can process vast amounts of information in a coordinated way, making it significantly more powerful than a classical counterpart. This predicted power increase will be great for users but is bad for physicists trying to simulate on a classical computer how an ideal quantum computer will behave. Now, a trio of researchers has shown that they can substantially reduce the resources needed to do these simulations if the quantum computer is imperfect [1]. The arXiv version of the trios paper is one of the most Scited papers of 2020 and the result generated quite a stir when it first appeared back in FebruaryI overheard it being enthusiastically discussed at the Quantum Optics Conference in Obergurgl, Austria, at the end of that month, back when we could still attend conferences in person.

In 2019, Google claimed to have achieved the quantum computing milestone known as quantum advantage, publishing results showing that their quantum computer Sycamore had performed a calculation that was essentially impossible for a classical one [2]. More specifically, Google claimed that they had completed a three-minute quantum computationwhich involved generating random numbers with Sycamores 53 qubitsthat would take thousands of years on a state-of-the-art classical supercomputer, such as IBMs Summit. IBM quickly countered the claim, arguing that more efficient memory storage would reduce the task time on a classical computer to a couple of days [3]. The claims and counterclaims sparked an industry clash and an intense debate among supporters in the two camps.

Resolving the disparity between these estimates is one of the goals of the new work by Yiqing Zhou, of the University of Illinois at UrbanaChampaign, and her two colleagues [1]. In their study, they focused on algorithms for classically replicating imperfect quantum computers, which are also known as NISQ (noisy intermediate-scale quantum) devices [4]. Todays state-of-the-art quantum computersincluding Sycamoreare NISQ devices. The algorithms the team used are based on so-called tensor network methods, specifically matrix product states (MPS), which are good for simulating noise and so are naturally suited for studying NISQ devices. MPS methods approximate low-entangled quantum states with simpler structures, so they provide a data-compression-like protocol that can make it less computationally expensive to classically simulate imperfect quantum computers (see Viewpoint: Pushing Tensor Networks to the Limit).

Zhou and colleagues first consider a random 1D quantum circuit made of neighboring, interleaved two-qubit gates and single-qubit random unitary operations. The two-qubit gates are either Controlled-NOT gates or Controlled-Z (CZ) gates, which create entanglement. They ran their algorithm for NISQ circuits containing different numbers of qubits, N, and different depths, Da parameter that relates to the number of gates the circuit executes (Fig. 1). They also varied a parameter in the MPS algorithm. is the so-called bond dimension of the MPS and essentially controls how well the MPS capture entanglement between qubits.

The trio demonstrate that they can exactly simulate any imperfect quantum circuit if D and N are small enough and is set to a value within reach of a classical computer. They can do that because shallow quantum circuits can only create a small amount of entanglement, which is fully captured by a moderate . However, as D increases, the team finds that cannot capture all the entanglement. That means that they cannot exactly simulate the system, and errors start to accumulate. The team describes this mismatch between the quantum circuit and their classical simulations using a parameter that they call the two-qubit gate fidelity fn. They find that the fidelity of their simulations slowly drops, bottoming out at an asymptotic value f as D increases. This qualitative behavior persists for different values of N and . Also, while their algorithm does not explicitly account for all the error and decoherence mechanisms in real quantum computers, they show that it does produce quantum states of the same quality (perfection) as the experimental ones.

In light of Googles quantum advantage claims, Zhou and colleagues also apply their algorithm to 2D quantum systemsSycamore is built on a 2D chip. MPS are specifically designed for use in 1D systems, but the team uses well-known techniques to extend their algorithm to small 2D ones. They use their algorithm to simulate an N=54, D=20 circuit, roughly matching the parameters of Sycamore (Sycamore has 54 qubits but one is unusable because of a defect). They replace Googles more entangling iSWAP gates with less entangling CZ gates, which allow them to classically simulate the system up to the same fidelity as reported in Ref. [2] with a single laptop. The simulation cost should increase quadratically for iSWAP-gate circuits, and although the team proposes a method for performing such simulations, they have not yet carried them out because of the large computational cost it entails.

How do these results relate to the quantum advantage claims by Google? As they stand, they do not weaken or refute claimswith just a few more qubits, and an increase in D or f, the next generation of NISQ devices will certainly be much harder to simulate. The results also indicate that the teams algorithm only works if the quantum computer is sufficiently imperfectif it is almost perfect, their algorithm provides no speed up advantage. Finally, the results provide numerical insight into the values of N, D, f, and for which random quantum circuits are confined to a tiny corner of the exponentially large Hilbert space. These values give insight into how to quantify the capabilities of a quantum computer to generate entanglement as a function of f, for example.

So, whats next? One natural question is, Can the approach here be transferred to efficiently simulate other aspects of quantum computing, such as quantum error correction? The circuits the trio considered are essentially random, whereas quantum error correction circuits are more ordered by design [5]. That means that updates to the new algorithm are needed to study such systems. Despite this limitation, the future looks promising for the efficient simulation of imperfect quantum devices [6, 7].

Jordi Tura is an assistant professor at the Lorentz Institute of the University of Leiden, Netherlands. He also leads the institutes Applied Quantum Algorithms group. Tura obtained his B.Sc. degrees in mathematics and telecommunications and his M.Sc. in applied mathematics from the Polytechnic University of Catalonia, Spain. His Ph.D. was awarded by the Institute of Photonic Sciences, Spain. During his postdoctoral stay at the Max Planck Institute of Quantum Optics in Germany, Tura started working in the field of quantum information processing for near-term quantum devices.

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The Quantum Dream: Are We There Yet? – Toolbox

Posted on September 5, 2020 by Ashlie Lopez

The emergence of quantum computing has led industry heavyweights to fast track their research and innovations. This week, Google conducted the largest chemical simulation on a quantum computer to date. The U.S. Department of Energy, on the other hand, launched five new Quantum Information Science (QIS) Research Centers. Will this accelerate quantum computings progress?

Quantum technology is the next big wave in the tech landscape. As opposed to traditional computers where all the information emails, tweets, YouTube videos, and Facebook photos are streams of electrical pulses in binary digits, 1s and 0s; quantum computers rely on quantum bits or qubits to store information. Qubits are subatomic particles, such as electrons or photons which change their state regularly. Therefore, they can be 1s and 0s at the same time. This enables quantum computers to run multiple complex computational tasks simultaneously and faster when compared to digital computers, mainframes, and servers.

Introduced in the 1980s, quantum computing can unlock the complexities across different industries much faster than traditional computers. A quantum computer can decipher complex encryption systems that can easily impact digital banking, cryptocurrencies, and e-commerce sectors, which heavily depend on encrypted data. Quantum computers can expedite the discovery of new medicines, aid in climate change, power AI, transform logistics, and design new materials. In the U.S., technology giants, including IBM, Google, Honeywell, Microsoft, Intel, IonQ, and Rigetti Computing, are leading the race to build quantum computers and gain a foothold in the quantum computing space. Whereas Alibaba, Baidu, Huawei are leading companies in China.

For a long time, the U.S. and its allies, such as Japan and Germany, had been working hard to compete with China to dominate the quantum technology space. In 2018, the U.S. government released the National Strategy Overview for Quantum Information Science to reduce technical skills gaps and accelerate quantum computing research and development.

In 2019, Google claimed quantum supremacy for supercomputers when the companys Sycamore processor performed specific tasks in 200 seconds, which would have taken a supercomputer 10,000 years to complete. In the same year, Intel rolled out Horse Ridge, a cryogenic quantum control chip, to reduce the quantum computing complexities and accelerate quantum practicality.

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Whats 2020 Looking Like For Quantum Computing?

In July 2020, IBM announced a research partnership with the Japanese business and academia to advance quantum computing innovations. This alliance will deepen ties between the countries and build an ecosystem to improve quantum skills and advance research and development.

More recently, in June 2020, Honeywell announced the development of the worlds highest-performing quantum computer. AWS, Microsoft, and several other IaaS providers have announced quantum cloud services, an initiative to advance quantum computing adoption. In August 2020, AWS announced the general availability of its Amazon Braket, a quantum cloud service that allows developers to design, develop, test, and run quantum algorithms.

Since last year, auto manufacturers, such as Daimler and Volkswagen have been leveraging quantum computers to identify new methods to improve electric vehicle battery performance. Pharmaceutical companies are also using the technology to develop new medicines and drugs.

Last week, the Google AI Quantum team used their quantum processor, Sycamore, to simulate changes in the configuration of a chemical molecule, diazene. During the process, the computer was able to describe the changes in the positions of hydrogen accurately. The computer also gave an accurate description of the binding energy of hydrogen in bigger chains.

If quantum computers develop the ability to predict chemical processes, it would advance the development of a wide range of new materials with unknown properties. Current quantum computers, unfortunately, lack the augmented scaling required for such a task. Although todays computers are not ready to take on such a challenge yet, computer scientists hope to accomplish this in the near future as tech giants like Google invest in quantum computing-related research.

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It, therefore, came as a relief to many computer scientists when the U.S. Department of Energy announced an investment of $625 million over the next five years for five newly formed Quantum Information Science (QIS) Research Centers in the U.S. The newly formed hubs are an amalgam of research universities, national labs, and tech titans in quantum computing. Each of the research hubs is led by the Energy Departments Argonne National Laboratory, Oak Ridge National Laboratory, Brookhaven National Laboratory, Fermi National Laboratory, and Lawrence Berkeley National Laboratory; powered by Microsoft, IBM, Intel, Riggeti, and ColdQuanta. This partnership aims to advance quantum computing commercialization.

Chetan Nayak, general manager of Quantum Hardware at Microsoft, says, While quantum computing will someday have a profound impact, todays quantum computing systems are still nascent technologies. To scale these systems, we must overcome a number of scientific challenges. Microsoft has been tackling these challenges head-on through our work towards developing topological qubits, classical information processing devices for quantum control, new quantum algorithms, and simulations.

At the start of this year, Daniel Newman, principal analyst and founding partner at Futurum Research, predicted that 2020 will be a big year for investors and Silicon Valley to invest in quantum computing companies. He said, It will be incredibly impactful over the next decade, and 2020 should be a big year for advancement and investment.

Quantum computing is still in the development phase, and the lack of suppliers and skilled researchers might be one of the influential factors in its establishment. However, if tech giants, and researchers continue to collaborate on a large scale, quantum technology can turbocharge innovation at a large scale.

What are your thoughts on the progress of quantum computing? Comment below or let us know on LinkedIn, Twitter, or Facebook. Wed love to hear from you!

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The Quantum Dream: Are We There Yet? - Toolbox

Canadian quantum computing firms partner to spread the technology – IT World Canada

Posted on October 9, 2020 by Ashlie Lopez

In a bid to accelerate this countrys efforts in quantum computing, 24 Canadian hardware and software companies specializing in the field are launching an association this week to help their work get commercialized.

Called Quantum Industry Canada, the group says they represent Canadas most commercial-ready technologies, covering applications in quantum computing, sensing, communications, and quantum-safe cryptography.

The group includes Burnaby, B.C., manufacturer D-Wave Systems, Vancouver software developer 1Qbit, Torontos photonic quantum computer maker Xanadu Quantum Technologies, the Canadian division of software maker Zapata Computing, Waterloo, Ont.,-based ISARA which makes quantum-safe solutions and others.

The quantum opportunity has been brewing for many years, association co-chair Michele Mosca of the University of Waterloos Institute for Quantum Computing and the co-founder of two quantum startups, said in an interview, explaining why the new group is starting now. Canadas been a global leader at building up the global opportunity, the science, the workforce, and we didnt want this chance to pass. Weve got over 24 innovative companies, and we wanted to work together to make these companies a commercial success globally.

Its also important to get Canada known as a leader in quantum-related products and services, he added. This will help assure a strong domestic quantum industry as we enter the final stages of quantum readiness.

And while quantum computing is a fundamental new tool, Mosca said, its also important for Canadian organizations to start planning for a quantum computing future, even if the real business value isnt obvious. We dont know exactly when youll get the real business advantage you want to be ready for when quantum computers can give you an advantage.

Adib Ghubril, research director at Toronto-based Info-Tech Research Group, said in an interview creation of such a group is needed. When you want to foster innovation you want to gain critical mass, a certain number of people working in different disciplines it will help motivate them, even maybe compete.

Researchers from startups and even giants like Google, Microsoft, Honeywell and IBM have been throwing billions at creating quantum computers. So are countries, especially China, but also Australia, the U.K., Germany and Switzerland. Many big-name firms are touting projects with experimental equipment, or hybrid hardware that does accelerated computations but dont meet the standard definition of a quantum computer.

True quantum computers may be a decade off, some suggest. Ghubril thinks were 15 years from what he calls reliable, effective quantum computing. Still, last December IDC predicted that by 2023, one-quarter of the Fortune Global 500 will gain a competitive advantage from emerging quantum computing solutions.

Among the recent signposts:

Briefly, quantum computers take the theory of quantum mechanics to change the world of traditional computation of bits represented by zeros and ones. Instead, a bit can be a zero or a one. In a quantum computer, such basic elements are called qubits. With their expected ability to do astonishing fast computations, quantum computers may be able to help pharmaceutical companies create new drugs and nation-states to break encryption protecting government secrets.

Companies are taking different approaches. D-Wave uses a quantum annealing process to make machines it says are suited to solving real-world computing problems today. Xanadu uses what Mosca calls a more circuit-type computing architecture. Theres certainly the potential that some of the nearer-term technologies will offer businesses advantage, especially as they scale.

We know the road towards a full-fledged quantum computer is long. But there are amazing milestones in that direction.

Ghubril says Canada is in the leading pack of countries working on quantum computing. The momentum out of China is enormous, he said, but it looks like the country will focus on using quantum for telecommunications and not business solutions.

From his point of view companies are taking two approaches to quantum computers. Some, like D-Wave, are trying to use quantum ideas to optimize solving modelling problems. The problem is not every problem is an optimization problem, he said. Other companies are trying for the Grand Poobah the real (quantum) computer. So the IBMs of the world are going for the gusto. They want the real deal. They want to solve the material chemistry and biosynthesis and so on. Theyve gone big, but by doing so theyve gone slower. You cant do much on the IBM platform. You can learn a lot, but you cant do much. You can do more on a D-Wave, but you can only do one thing.

Ghburil encourages companies to dabble in the emerging technology.

Thats Infotechs recommendation: Just learn about it. Join a forum, open an account, try a few things. Nobody is going to gain a (financial) competitive advantage. Its a learning advantage.

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Canadian quantum computing firms partner to spread the technology - IT World Canada

Physicists Propose New Field of Study Related to Coherent Ising Machine – Business Wire

Posted on October 20, 2020 by Ashlie Lopez

PALO ALTO, Calif.--(BUSINESS WIRE)--NTT Research, Inc., a division of NTT (TYO:9432), today announced that Dr. Yoshihisa Yamamoto, the Director of its Physics and Informatics (PHI) Lab, along with colleagues at several academic institutions, has proposed an interdisciplinary research agenda that amounts to a new field of academic study. Their proposal, which arises in the course of addressing a fundamental research problem, appears in an article titled Coherent Ising Machines: Quantum optics and neural network perspectives, published as a Perspectives cover article in Applied Physics Letters (APL) (117 (16) (2020)). The collaborating authors from Stanford University are Drs. Surya Ganguli and Hideo Mabuchi, associate professor and professor, respectively, of applied physics in the School of Humanities and Sciences at Stanford University.

A Coherent Ising Machine (CIM) is a special-purpose processor designed to address particularly difficult types of problems that can be mapped to an Ising model, such as combinatorial optimization problems. The Ising model, named after the physicist Ernst Ising, consists of variables that represent interacting spins, i.e. forms of a fundamental particles angular momentum. A CIM is actually a network of optical parametric oscillators (OPOs) and solves problems by finding the spin configuration that minimizes a problems Ising energy function. (Here is a visualization from MITs Lincoln Laboratory of how a CIM resolves the textbook combinatorial optimization problem of the traveling salesperson; potential current applications range from logistics to medicine to machine learning and beyond.) One condition for the optimal spin state is that it occur well above the lasing threshold, the point at which optical gain of the laser is balanced against its losses. A basic problem of the CIM, however, is that when the laser pump rate is increased from below to above threshold, the machine may be prevented from relaxing to true ground state, for reasons related to the behavior of eigenvectors with minimum values. This article explores two approaches to that problem. The first involves coherent spreading over local minima via quantum noise correlation; the second, implementing real-time error correction feedback. In their discussion of these approaches, the authors offer various perspectives based on a range of interdisciplinary viewpoints that span quantum optics, neural networks and message passing.

Along the way, write the co-authors in the article, we will touch upon connections between the CIM and foundational concepts spanning the fields of statistical physics, mathematics and computer science, including dynamical systems theory, bifurcation theory, chaos, spin glasses, belief propagation and survey propagation.

One reason for engaging in a cross-pollination of ideas across classical, quantum and neural approaches to combinatorial optimization is that, to date, CIM studies could be characterized as primarily experimentally-driven. Large-scale measurement feedback coupling coherent Ising machine (MFB-CIM) prototypes constructed by NTT Basic Research Laboratories are reaching levels of computational performance that, in a fundamental sense, we do not really understand, write the authors. That situation stands in marked contrast to that of mainstream quantum computing, in which laboratory efforts have lagged behind theoretical analyses.

We look forward to accelerated advancement of learning in both the theoretical and experimental studies of CIMs, said Dr. Yoshihisa Yamamoto, director of the PHI Lab at NTT Research, and one of the articles co-authors. Although there is no well-defined method for launching a new academic field of study, we see many rich possibilities for future interdisciplinary research, focused around a multifaceted theoretical and experimental approach to combinatorial optimization that unites perspectives from statistics, computer science, statistical physics and quantum optics, and we are grateful to the editors of APL for providing a forum from which to launch this proposal.

A publication of AIP Publishing, a wholly owned, not-for-profit subsidiary of the American Institute of Physics (AIP), APL features concise, up-to-date reports on significant new findings in applied physics. Perspectives are a new invitation-only article type for the journal, seeking personal views and scientific directions from experts in the field, said APL Editor-in-Chief Lesley F. Cohen. We are absolutely delighted that Dr. Yamamoto and his colleagues accepted our invitation to produce their fascinating and timely Perspective article on this emerging and important topic.

The NTT Research PHI Lab has itself already cast a wide net, as part of its long-range goal to radically redesign artificial computers, both classical and quantum. It has established joint research agreements with seven universities, one government agency and quantum computing software company, covering a wide range of topics. Those universities are California Institute of Technology (CalTech), Cornell University, Massachusetts Institute of Technology (MIT), Notre Dame University, Stanford University, Swinburne University of Technology and the University of Michigan. The government entity is NASA Ames Research Center in Silicon Valley, and the private company is 1QBit.

About NTT Research

NTT Research opened its Palo Alto offices in July 2019 as a new Silicon Valley startup to conduct basic research and advance technologies that promote positive change for humankind. Currently, three labs are housed at NTT Research: the Physics and Informatics (PHI) Lab, the Cryptography and Information Security (CIS) Lab, and the Medical and Health Informatics (MEI) Lab. The organization aims to upgrade reality in three areas: 1) quantum information, neuro-science and photonics; 2) cryptographic and information security; and 3) medical and health informatics. NTT Research is part of NTT, a global technology and business solutions provider with an annual R&D budget of $3.6 billion.

NTT and the NTT logo are registered trademarks or trademarks of NIPPON TELEGRAPH AND TELEPHONE CORPORATION and/or its affiliates. All other referenced product names are trademarks of their respective owners. 2020 NIPPON TELEGRAPH AND TELEPHONE CORPORATION

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Physicists Propose New Field of Study Related to Coherent Ising Machine - Business Wire

Quantum Information Processing Market Outlook, Development Factors, Latest Opportunities and Forecast 2025 | 1QB Information Technologies, Airbus,…

Posted on September 20, 2020 by Ashlie Lopez

Quantum Information Processing Markethas been riding a progressive growth trail over the recent past. The first two quarters of the year 2020 have however witnessed heavy disruptions throughout all the industry facets, which are ultimately posing an unprecedented impact onQuantum Information Processing market. Although healthcare & life sciences industry as a whole is witnessing an influx of opportunities in selected sectors, it remains a matter of fact that some of the industry sectors have temporarily scaled back. It becomes imperative to stay abreast of all the recent updates and predict the near future wisely.

The report primarily attempts to track the evolution of growth path of market from 2019, through 2020, and post the crisis. It also provides long-term market growth projections for a predefined period of assessment, 2020 2025. Based on detailed analysis of industrys key dynamics and segmental performance, the report offers an extensive assessment of demand, supply, and manufacturing scenario. Upsurge in R&D investments, increasing sophistication of healthcare infrastructure, thriving medical tourism, and rapidly introducing innovations in Quantum Information Processing and equipment sector are thoroughly evaluated.

NOTE: Our team is studying Covid-19 impact analysis on various industry verticals and Country Level impact for a better analysis of markets and industries. The 2020 latest edition of this report is entitled to provide additional commentary on latest scenario, economic slowdown and COVID-19 impact on overall industry.

Request Free Sample Report Quantum Information Processing industry outlook @ Key players in the global Quantum Information Processing market covered in Chapter 4: 1QB Information Technologies, Airbus, Anyon Systems, Cambridge Quantum Computing, D-Wave Systems, Google, Microsoft, IBM, Intel, QC Ware, Quantum, Rigetti Computing, Strangeworks, Zapata Computing

In Chapter 11 and 13.3, on the basis of types, the Quantum Information Processing market from 2020 to 2025 is primarily split into:HardwareSoftware

In Chapter 12 and 13.4, on the basis of applications, the Quantum Information Processing market from 2020 to 2025 covers:BFSITelecommunications and ITRetail and E-CommerceGovernment and DefenseHealthcareManufacturingEnergy and UtilitiesConstruction and EngineeringOthers

Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historic and forecast (2015-2026) of the following regions are covered in Chapter 5, 6, 7, 8, 9, 10, 13:

United States, Canada, Germany, UK, France, Italy, Spain, Russia, Netherlands, Turkey, Switzerland, Sweden, Poland, Belgium, China, Japan, South Korea, Australia, India, Taiwan, Indonesia, Thailand, Philippines, Malaysia, Brazil, Mexico, Argentina, Columbia, Chile, Saudi Arabia, UAE, Egypt, Nigeria, South Africa and Rest of the World

Some Points from Table of Content

Global Quantum Information Processing Market Report 2020 by Key Players, Types, Applications, Countries, Market Size, Forecast to 2026

Chapter 1Report Overview

Chapter 2Global Market Growth Trends

Chapter 3Value Chain of Quantum Information Processing Market

Chapter 4Players Profiles

Chapter 5Global Quantum Information Processing Market Analysis by Regions

Chapter 6North America Quantum Information Processing Market Analysis by Countries

Chapter 7Europe Quantum Information Processing Market Analysis by Countries

Chapter 8Asia-Pacific Quantum Information Processing Market Analysis by Countries

Chapter 9Middle East and Africa Quantum Information Processing Market Analysis by Countries

Chapter 10South America Quantum Information Processing Market Analysis by Countries

Chapter 11Global Quantum Information Processing Market Segment by Types

Chapter 12Global Quantum Information Processing Market Segment by Applications

Chapter 13Quantum Information Processing Market Forecast by Regions (2020-2026)

Chapter 14Appendix

Impact of Covid-19 in Quantum Information Processing Market: Since the COVID-19 virus outbreak in December 2019, the disease has spread to almost every country around the globe with the World Health Organization declaring it a public health emergency. The global impacts of the coronavirus disease 2019 (COVID-19) are already starting to be felt, and will significantly affect the Quantum Information Processing market in 2020. The outbreak of COVID-19 has brought effects on many aspects, like flight cancellations; travel bans and quarantines; restaurants closed; all indoor/outdoor events restricted; over forty countries state of emergency declared; massive slowing of the supply chain; stock market volatility; falling business confidence, growing panic among the population, and uncertainty about future.

Points Covered in the Report

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Quantum Information Processing Market Outlook, Development Factors, Latest Opportunities and Forecast 2025 | 1QB Information Technologies, Airbus,...

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